EITS - Market StructureThis script marks the Swing Lows and Highs of a chosen pair. H,HH,L,LL,HL,LH will be marked on chart. Have fun!!
Fractales
KILLZONE & CHECK LIST ICAKILLZONE & CHECK LIST | The Inner Circle Alchemist
✨ Features:
Display of precise trading killzones on the chart
Marking the high, low, and mid-level of each killzone
Option to show/hide killzone names
Daily separators at custom times (e.g. 17:00 or 00:00)
Highlighting Midnight Open, 8:30 Open, and New York Stock Exchange Open
Display of previous day, week, and month highs & lows (optional)
A clean and practical trading checklist on the bottom-right of the chart
Visual customization, such as showing your name/brand on the chart
Clear indication of weekdays
⚡️ A perfect mix of professional tools & visual style to keep you one step ahead!
ID on all platforms: TheInnerCircleAlchemist
#Forex #Trading #Indicator #Killzone #TradingChecklist #PriceAction #DayTrading #SwingTrading #SmartMoney #MarketStructure #TradingTools #ChartAnalysis #TechnicalAnalysis #ForexStrategy #TraderLife #ForexTrading
[DEM] Heikin Ashi Barcolors Heikin Ashi Barcolors is designed to apply smoothed Heikin Ashi calculations to regular candlestick charts and color the price bars based on the resulting Heikin Ashi trend direction to reduce market noise and provide clearer visual trend identification. The indicator first applies EMA smoothing to the standard OHLC values, then calculates Heikin Ashi values using the traditional formulas (averaged close, modified open based on previous values, and adjusted high/low), and applies an additional layer of EMA smoothing to the Heikin Ashi results. The bars are colored teal when the smoothed Heikin Ashi close is above the smoothed Heikin Ashi open (indicating bullish conditions) and red when the close is below the open (indicating bearish conditions), effectively transforming the visual appearance of regular candlesticks to reflect the smoother, trend-following characteristics of Heikin Ashi methodology while maintaining the original price structure.
SOLACEThis overlay combines a fast/slow EMA price-action system with rich context tools. Buy prints on the current bar when both EMAs (5 & 21) are below the OHLC average and the 21 EMA crosses below the 5 EMA; Sell prints when both EMAs are above the average and the 21 EMA crosses above the 5 EMA. It also plots MACD, VWAP, Bollinger Bands (20,2), SMA50/200, plus dynamic support/resistance lines from recent swing highs/lows (20/40/60 bars) for confluence. Labels fire same-bar for early entries, and alerts are included for both signals; fractal logic is prepared for future use.
ICT Fractal HTF Candles [TFR]ICT HTF Fractal Candles
This indicator overlays higher timeframe (HTF) candles directly on your current chart for better multi-timeframe analysis. It plots up to the last 4 candles from a user-selected timeframe (5m, 15m, 1h, 4h, or 1D) with customizable body and border colors.
Features:
Displays the last 4 higher timeframe candles (open, high, low, close) on your current chart.
Customizable bullish, bearish, and inside close candle colors.
Optional midpoint wick lines (top and bottom) for precision reference, with extendable length for clarity.
Optional candle midpoint line for additional confluence.
Overlay mode allows you to see HTF structure without switching chart timeframes.
Timeframe label display so you always know which HTF is being plotted.
Offset control for shifting candle position.
Use Case:
This tool helps traders apply ICT concepts like PO3, midpoint reference levels, and multi-timeframe confirmation without constantly switching between charts. It’s particularly useful for identifying liquidity zones, midpoint reactions, and higher timeframe market structure while executing on a lower timeframe.
SorMed IndicatorSormed: Your all-in-one trading edge. Pinpoint favorable buy (blue) & sell (red) periods with our dynamic analysis of fractals, levels, and volatility. Simplify trend trading with clear, adaptive signals to guide your decisions.
YouTube: “The Best Algo Trading Software & Strategies” @superadvisorsorokin
FlowThe indicator attempts to capture the volatility within a range and apply a set of Fibonacci calculations to display a range of bands of varying degrees which represents zones where exhaustion may occur on both sides.
So if price gets in to the yellow or pink zones then the script author is on high alert for a reversal. It must be noted that the user of the script should be fluent in Elliott Wave Analysis as the script was developed to help the author determine if a wave sequence may have ended.
When the indicator glides along one of the green, yellow or pink bands, then the instrument is likely in a 3rd wave, in Elliott wave speak, as such the user of the script would wait and not try to fade the move up or down as continuation is likely. Instead a move away from one of the bands should indicate another attempt at reaching the band after moving away. Thus, this move back in should be a 5th wave of some degree within the timeframe.
The indicator is not bound to any timeframe, as such it works on a 1 minute chart as it does on a weekly timeframe.
One of the observations the author makes is the use of the indicator within a sideways market. The indicator performs very well within these lower volatility environments by indicating exhaustion within these range bound markets.
So in essence, within the framework of Elliott wave analysis and respective time frames. Watch several higher and lower time frames.
1) Once wave 1 has completed
2) Look for a move down to the lower green / yellow zone to identify a wave 2 zone.
3) Once wave 3 starts, do not attempt to fade or short the first touch on the pink zone. Wait for price to move away and then come back in to the pink zone before considering a top and any attempts to fade.
4) Wave 4 should find support on the lower yellow or green band. Where it may be considered that price may change direction.
5) Depending on the time frame and any expected/unexpected extensions, Wave 5 may find resistance in to the pink zone.
A question that the author often asks is "where will wave 3 end?" - Will it end at the 1.618% extension of wave 1 & 2, the 176.4 or higher and perhaps lower. Using the pink zones the author has found it useful and quite accurate to make such a judgement based on the current position of the bands - Pink for exhaustion in an uptrend and green for exhaustion in a down trending market.
Trend FriendTrend Friend — What it is and how to use it
I built Trend Friend to stop redrawing the same trendlines all day. It automatically connects confirmed swing points (fractals) and keeps the most relevant lines in front of you. The goal: give you clean, actionable structure without the guesswork.
What it does (in plain English)
Finds swing highs/lows using a Fractal Period you choose.
Draws auto-trendlines between the two most recent confirmed highs and the two most recent confirmed lows.
Colours by intent:
Lines drawn from highs (potential resistance / bearish) = Red
Lines drawn from lows (potential support / bullish) = Green
Keeps the chart tidy: The newest lines are styled as “recent,” older lines are dimmed as “historical,” and it prunes anything beyond your chosen limit.
Optional crosses & alerts: You can highlight when price closes across the most recent line and set alerts for new lines formed and upper/lower line crosses.
Structure labels: It tags HH, LH, HL, LL at the swing points, so you can quickly read trend/rotation.
How it works (under the hood)
A “fractal” here is a confirmed pivot: the highest high (or lowest low) with n bars on each side. That means pivots only confirm after n bars, so signals are cleaner and less noisy.
When a new pivot prints, the script connects it to the prior pivot of the same type (high→high, low→low). That gives you one “bearish” line from highs and one “bullish” line from lows.
The newest line is marked as recent (brighter), and the previous recent line becomes historical (dimmed). You can keep as many pairs as you want, but I usually keep it tight.
Inputs you’ll actually use
Fractal Period (n): this is the big one. It controls how swingy/strict the pivots are.
Lower n → more swings, more lines (faster, noisier)
Higher n → fewer swings, cleaner lines (slower, swing-trade friendly)
Max pair of lines: how many pairs (up+down) to keep on the chart. 1–3 is a sweet spot.
Extend: extend lines Right (my default) or Both ways if you like the context.
Line widths & colours: recent vs. historical are separate so you can make the active lines pop.
Show crosses: toggle the X markers when price crosses a line. I turn this on when I’m actively hunting breakouts/retests.
Reading the chart
Red lines (from highs): I treat these as potential resistance. A clean break + hold above a red line often flips me from “fade” to “follow.”
Green lines (from lows): Potential support. Same idea in reverse: break + hold below and I stop buying dips until I see structure reclaim.
HH / LH / HL / LL dots: quick read on structure.
HH/HL bias = uptrend continuation potential
LH/LL bias = downtrend continuation potential
Mixed prints = rotation/chop—tighten risk or wait for clarity.
My H1 guidance (fine-tuning Fractal Period)
If you’re mainly on H1 (my use case), tune like this:
Fast / aggressive: n = 6–8 (lots of signals, good for momentum days; more chop risk)
Balanced (recommended): n = 9–12 (keeps lines meaningful but responsive)
Slow / swing focus: n = 13–21 (filters noise; better for trend days and higher-TF confluence)
Rule of thumb: if you’re getting too many touches and whipsaws, increase n. If you’re late to obvious breaks, decrease n.
How I trade it (example workflow)
Pick your n for the session (H1: start at 9–12).
Mark the recent red & green lines. That’s your immediate structure.
Look for interaction:
Rejections from a line = fade potential back into the range.
Break + close across a line = watch the retest for continuation.
Confirm with context: session bias, HTF structure, and your own tools (VWAP, RSI, volume, FVG/OB, etc.).
Plan the trade: enter on retest or reclaim, stop beyond the line/last swing, target the opposite side or next structure.
Alerts (set and forget)
“New trendline formed” — fires when a new high/low pivot confirms and a fresh line is drawn.
“Upper/lower trendline crossed” — fires when price crosses the most recent red/green line.
Use these to track structure shifts without staring at the screen.
Good to know (honest limitations)
Confirmation lag: pivots need n bars on both sides, so signals arrive after the swing confirms. That’s by design—less noise, fewer fake lines.
Lines update as structure evolves: when a new pivot forms, the previous “recent” line becomes “historical,” and older ones can be removed based on your max setting.
Not an auto trendline crystal ball: it won’t predict which line holds or breaks—it just keeps the most relevant structure clean and up to date.
Final notes
Works on any timeframe; I built it with H1 in mind and scale to H4/D1 by increasing n.
Pairs nicely with session tools and VWAP for intraday, or with supply/demand / FVGs for swing planning.
Risk first: lines are structure, not guarantees. Manage position size and stops as usual.
Not financial advice. Trade your plan. Stay nimble.
Ichimoku Fractal Flow### Ichimoku Fractal Flow (IFF)
By Gurjit Singh
Ichimoku Fractal Flow (IFF) distills the Ichimoku system into a single oscillator by merging fractal echoes of price and cloud dynamics into one flow signal. Instead of static Ichimoku lines, it measures the "flow" between Conversion/Base, Span A/B, price echoes, and cloud echoes. The result is a multidimensional oscillator that reveals hidden rhythm, momentum shifts, and trend bias.
#### 📌 Key Features
1. Fourfold Fusion – The oscillator blends:
* Phase: Tenkan vs. Kijun spread (short vs. medium trend).
* Kumo Phase: Span A vs. Span B spread (cloud thickness).
* Echo: Price vs lagged reflection.
* Cloud Echo: Price vs. projected cloud center.
2. Oscillator Output – A unified flow line oscillating around zero.
3. Dual Calculation Modes – Oscillator can be built using:
* High-Low Midpoint (classic Ichimoku-style averaging).
* Wilder’s RMA (smoother, less noisy averaging averaging).
4. Optional Smoothing – EMA or Wilder’s RMA creates a trend line, enabling MACD-style crossovers.
5. Dynamic Coloring – Bullish/Bearish color shifts for quick bias recognition.
6. Fill Styling – Highlighted regions between oscillator & smoothing line.
7. Zero Line Reference – Acts as a structural pivot (bull vs. bear).
#### 🔑 How to Use
1. Add to Chart: Works across all assets and timeframes.
2. Flow Bias (Zero Line):
* Above 0 → Bullish flow 🐂
* Below 0 → Bearish flow 🐻
3. With Signal Line:
* Oscillator above smoothing line → Possible upward trend shift.
* Oscillator below smoothing line → Possible downward trend shift.
4. Strength:
* Wide separation from smoothing = strong trend.
* Flat, tight clustering = indecision/range.
5. Contextual Edge: Combine signals with Ichimoku Cloud analysis for stronger confluence.
#### ⚙️ Inputs & Options
* Conversion Line (Tenkan, default 9)
* Base Line (Kijun, default 26)
* Leading Span B (default 52)
* Lag/Lead Shift (default 26)
* Oscillator Mode: High-Low Midpoint vs Wilder’s RMA
* Use Smoothing (toggle on/off)
* Signal Smoothing: Wilder/EMA option
* Smoothing Length (default 9)
* Bullish/Bearish Colors + Transparency
#### 💡 Tips
* Wilder’s RMA (both oscillator & smoothing) is gentler, reducing whipsaws in sideways markets.
* High-Low Mid captures pure Ichimoku-style ranges, good for structure-based traders.
* EMA reacts faster than RMA; use if you want early momentum signals.
* Zero-line flips act like momentum pivots—watch them near cloud boundaries.
* Signal line crossovers behave like MACD-style triggers.
* Strongest signals appear when oscillator, signal line, and Ichimoku Cloud all align.
👉 In short: Ichimoku Fractal Flow compresses multi-layered Ichimoku system into a single fractal oscillator that detects flow, pivotal shifts, and momentum with clarity—bridging price, cloud, and echoes into one signal. Where the cloud shows structure, IFF reveals the underlying flow. Together, they offer a fractal lens into market rhythm.
CBT Model- Culture Pulse ProThis CBT Model helps trader to identify possible buying and selling opportunity . This is base on directional candle structure bias. NOTE: Not all the cbt signals are guaranteed to win, better to apply your approach and do not enter the cbt signals blindly.
15m — numerotare candele într-o perioadă delimitată15m — numerotare candele într-o perioadă delimitată
Session Levels [odnac]This indicator plots the high and low levels of the three main trading sessions—Asia, Europe, and New York—along with the previous day’s high, low, and open. Each session’s time range can be customized using a UTC offset, and the indicator automatically tracks session highs and lows as price develops.
Functions:
Plots session highs and lows for Asia, Europe, and New York.
Shows previous day’s high, low, and open as reference levels.
Session times are fully configurable with hour and minute precision, including UTC offset adjustment.
Each session level is marked with both a line and a label for clarity.
Color customization for each session and previous day levels.
Designed for intraday timeframes (1–60 minutes).
Filter Condition:
When the filter option is enabled, the indicator adjusts how levels are drawn:
A session high above the current close is displayed as a solid line with a visible label.
Once price closes above that high, the line becomes dotted and dimmed, and the label also becomes less emphasized.
Similarly, a session low below the current close is displayed as a solid line and label.
If price closes below that low, the line switches to dotted and dimmed, with the label adjusted accordingly.
This behavior highlights only the most relevant levels for the current market position while still keeping breached levels visible in a subdued style, making it easier to spot active breakout or liquidity zones.
Statistical Mapping [Version 3]Edit Statistical Mapping (ESM) is a statistical technique used mainly in data validation, error detection, and imputation. It’s often applied in official statistics and large surveys. The method works by:
Defining a set of edits (logical or mathematical rules) that data records must satisfy.
Example: Income ≥ 0, Age ≥ 15 if Employment Status = “Employed”.
Identifying inconsistencies in the data when these edits are violated.
Using statistical mapping to correct or impute missing/inconsistent values based on relationships in the dataset.
Ensuring coherence of microdata so that it aligns with macro-level aggregates.
Supporting survey data cleaning, census editing, and economic statistics preparation.
It’s particularly important for official statistics agencies because data collected from respondents often contains errors, missing entries, or contradictions. ESM ensures that the final dataset is internally consistent, reliable, and ready for analysis.
Muzyorae - ICT Quarter Cycle (Once)ICT Quarterly Theory — 06:00 to 12:00 (NY) Micro-Quarters
This tool focuses on the 06:00–12:00 New York time window and subdivides it into four equal “micro-quarters,” each 90 minutes long. In many ICT layouts this block is treated as a single higher-level quarter; here we break it into a finer structure to help you frame intraday narratives, liquidity runs, and session shifts with consistent time anchors.
How it’s partitioned
q1: 06:00 → 07:30 (NY)
q2: 07:30 → 09:00 (NY)
q3: 09:00 → 10:30 (NY)
q4: 10:30 → 12:00 (NY)
Each boundary is plotted at the exact start time, so you can see where one 90-minute cycle ends and the next begins. Labels can be placed above or below price, and colors/styles are configurable to match your chart.
Why it’s useful
Provides fixed time scaffolding for building AM session bias, execution windows, and narrative transitions.
Helps distinguish pre-cash open, cash open, and late-AM distribution/accumulation phases without guessing.
Standardizes replay and journaling: the same 90-minute checkpoints every day.
Key features
NY-time anchored (handles DST automatically through TradingView’s exchange time).
Four precise 90-minute segments inside the 06:00–12:00 block.
Customizable line styles, colors, and label placement (above/below).
Optional visibility controls to keep charts clean.
Note: Some ICT mappings name the 06:00–12:00 block differently (e.g., Q2 vs. Q3). This indicator uses the same time bounds regardless of the label you prefer; you can rename the macro label in settings if desired.
Disclaimer: Time framing does not guarantee outcomes. Use alongside your own analysis, risk management, and execution plan.
Muzyorae - ICT Quarterly Theory (Intraday)ICT Quarterly Theory — Intraday
What it is
ICT’s Quarterly Theory models the intraday session as repeating cycles of four “quarters.” On NY time, a trading day is split into four macro quarters of 6 hours each:
Q1: 00:00–06:00 NY (Asia / pre-London)
Q2: 06:00–12:00 NY (London–NY overlap, AM session)
Q3: 12:00–18:00 NY (Midday / PM session)
Q4: 18:00–24:00 NY (Asia re-open / late session)
Each macro quarter can be further subdivided into micro quarters of 90 minutes (q1–q4). This fractal view helps traders frame accumulation → expansion → distribution → liquidation phases and align executions with time-of-day liquidity.
Why it matters
Orderflow, liquidity raids, and displacement are highly time-dependent. Marking the quarters makes it easier to:
Anticipate when the market is likely to deliver the day’s expansion (often Q2) versus retracement/distribution (often Q3) or late liquidity runs (often Q4).
Compare today’s behavior to prior days within the same quarter windows.
Anchor bias, entries, and risk management to session-specific highs/lows rather than arbitrary clock times.
What this indicator shows
Macro quarters (6h): Vertical lines and optional labels (Q1–Q4) on NY time.
Micro quarters (90m): Optional finer verticals inside each macro quarter (q1–q4) for precise timing.
True Open (Q2 AM): Optional line at the AM session’s true open (default 06:00 NY) to study premium/discount development from the intraday benchmark.
Futures Sunday handling: Optional treatment of Sunday 18:00 NY as Q4 (useful for FX/futures).
Label controls: Choose above/below placement, offset, size, and colors; micro labels can be toggled independently.
Performance-friendly: De-duplicated labels and a look-back “days to show” setting keep charts clean.
How to use
Timeframe: Works on intraday charts (1–60m). 5–15m is a common balance of signal vs. noise.
Bias framing:
Map Asia (Q1), AM expansion (Q2), midday distribution (Q3), late session runs (Q4).
Compare where the daily range forms versus the True Open to gauge premium/discount and likely continuations.
Execution: Look for standard ICT tools (liquidity sweeps, FVGs, displacement, PD arrays) inside the active quarter to avoid fighting time-of-day flow.
Review: Scroll back multiple days and evaluate where the day’s high/low typically forms relative to Q2–Q3; adapt expectations.
Settings (high level)
Show Macro Labels / Micro Lines / Micro Labels
Label position (above/below), X-shift, colors, sizes
Days to show, de-dup window (prevents label overlaps)
Q2 True Open toggle and extension (doesn't work)
Include Sunday as Q4 (18:00 NY)
Notes
Quarter boundaries are fixed to America/New York session logic to match ICT timing.
This is a context tool; it does not generate buy/sell signals. Combine with your existing execution model.
Past behavior does not guarantee future results. Use proper risk management.
Muzyorae - RTH Anchored Quarters CyclesRTH Anchored Quarters Cycles — Model Overview
The RTH Anchored Quarters Cycles model is designed to divide the Regular Trading Hours (RTH) session of U.S. equities (typically 09:30 – 16:00 New York time) into four structured “quarters” plus a closing marker. It provides a consistent framework for analyzing intraday market behavior by aligning time-based partitions with the actual trading day.
Key Features
Anchored to RTH
The model starts each cycle at 09:30 NY time (the official cash open).
It ignores overnight or extended-hours data, focusing strictly on the RTH session, where the majority of institutional order flow takes place.
After 18:00 NY time, the model still references the same trading date, preventing false signals from session rollovers.
Quarterly Time Blocks
The trading day is split into five reference points:
Q1: 09:30 – 10:00
Q2: 10:00 – 11:30
Q3: 11:30 – 13:30
Q4: 13:30 – 16:00
End: Closing marker at 16:00
Each boundary is drawn as a vertical line on the chart, clearly separating the quarters.
Customization
Users can adjust the start/end times of each quarter.
So if you would like to wish to use ICT timing Macro, intraday, daily and even weekly
The line style, color, and width are configurable (solid/dotted/dashed).
A label is placed at each quarter boundary (Q1, Q2, Q3, Q4, End) for quick visual reference.
Days Back Control
The model can display the cycles for multiple past trading days (user-defined).
Weekend days are automatically skipped, so “2 days back” means today and the previous trading day.
Why It’s Useful
Intraday Structure: Traders can quickly identify where the market is within the daily RTH cycle.
Consistency: Since the model is anchored to RTH, it avoids confusion caused by overnight Globex activity.
Clarity: Vertical markers and labels provide a clean framework for aligning trade setups, volume analysis, or order flow studies with specific time windows.
Flexibility: The customizable settings allow adaptation across instruments and strategies.
Muzyorae - Quarterly CyclesQuarterly Theory — NY Session Macro Model
The Quarterly Theory is a time-based framework for analyzing intraday market behavior during the New York session. It divides the session into four sequential quarters (Q1–Q4), each reflecting institutional activity, liquidity accumulation, and directional bias.
Q1 – Accumulation (9:30–10:00 AM): Early positioning, initial liquidity sweeps, and potential early breakouts (AMDX - XAMD patterns).
Q2 – Manipulation/Expansion (10:00–11:30 AM): Main directional move with structure breaks, fair value gaps, and liquidity sweeps.
Q3 – Distribution/Retracement (11:30 AM–1:30 PM): Consolidation, profit-taking, and market chop.
Q4 – Final Expansion/Repricing (1:30–4:00 PM): Trend continuation, reversals, and session high/low formation.
Key Features:
Fractal-based cycles scalable across intraday or multi-day timeframes.
Supports AMDX (Accumulation → Manipulation → Distribution → Expansion) and XAMD reversal sequences.
Highlights early Q1 expansions, Q2 open reference, and critical liquidity zones.
Fully synchronized to NY time and compatible with ICT concepts (SMT, FVGs, OBs, BOS).
Professional visualization with optional labels and vertical markers.
Purpose:
Provides traders a systematic framework to align with institutional flow, anticipate liquidity accumulation, identify optimal entry/exit zones, and structure trades around high-probability intraday cycles.
